Bin Song

About

Bin Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Bin Song has authored 55 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Bin Song’s work include Cancer-related molecular mechanisms research (8 papers), Cancer-related gene regulation (7 papers) and Circular RNAs in diseases (6 papers). Bin Song is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Cancer-related gene regulation (7 papers) and Circular RNAs in diseases (6 papers). Bin Song collaborates with scholars based in China, United States and South Korea. Bin Song's co-authors include Caixia Cheng, Pengzhou Kong, Jinbo Sun and Ruyi Shi and has published in prestigious journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Fields of papers citing papers by Bin Song

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Bin Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Song may publish in the future.

Countries citing papers authored by Bin Song

Since Specialization

Citations

This map shows the geographic impact of Bin Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Song more than expected).

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